| Author | Search for: Mohamed, I.; Search for: Haddara, M. R.; Search for: Williams, C. D.; Search for: Mackay, M. |
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| Format | Text, Article |
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| Conference | 21st International Conference on Offshore Mechanics and Arctic Engineering, June 23-28, 2002, Oslo, Norway |
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| Subject | captive-model maneuvering tests; hydrodynamic coefficients; hydrodynamic forces and moments; marine dynamics test facility; MDTF; multi-degree-of-freedom maneuvers; neural networks; prediction methods; rigid body motions; stability derivatives; submarines; towing tank experiments |
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| Abstract | This paper describes a parametric identification tool for predicting the hydrodynamic forces acting on a submarine model using its motion history. The tool uses a neural network to identify the hydrodynamic forces and moments; the network was trained with data obtained from multi-degree-of-freedom captive maneuvering tests. The characteristics of the trained network are demonstrated through reconstruction of the force and moment time histories. This technique has the potential to reduce experimental time and cost by enabling a full hydrodynamic model of the vehicle to be obtained from a relatively limited number of test maneuvers. |
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| Publication date | 2002 |
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| Identifier | IR-2002-12 |
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| NRC number | NRC-IOT-5504 |
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| NPARC number | 8895516 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 36309ca3-0918-4f4d-a329-820d84b3a35d |
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| Record created | 2009-04-22 |
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| Record modified | 2020-03-30 |
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